[HTML][HTML] Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
New machine learning method for image-based diagnosis of COVID-19
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO)
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 …
Breast cancer detection in mammogram: Combining modified CNN and texture feature based approach
JG Melekoodappattu, AS Dhas, BK Kandathil… - Journal of Ambient …, 2023 - Springer
Customized deep neural networks are being used to assess medical imaging and pathology
data. The proper assessment of malignancy using digital mammography images is a …
data. The proper assessment of malignancy using digital mammography images is a …
Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features
The number of deaths caused by melanoma has increased remarkably in the last few years
which are the carcinogenic type of skin cancer. Lately, computer based methods are …
which are the carcinogenic type of skin cancer. Lately, computer based methods are …
An efficient CNN model to detect copy-move image forgery
Recently, digital images have become used in many applications, where they have become
the focus of digital image processing researchers. Image forgery represents one hot topic on …
the focus of digital image processing researchers. Image forgery represents one hot topic on …
A grey wolf-based method for mammographic mass classification
Breast cancer is one of the most prevalent cancer types with a high mortality rate in women
worldwide. This devastating cancer still represents a worldwide public health concern in …
worldwide. This devastating cancer still represents a worldwide public health concern in …
New fractional-order Legendre-Fourier moments for pattern recognition applications
Orthogonal moments enable computer-based systems to discriminate between similar
objects. Mathematicians proved that the orthogonal polynomials of fractional-orders …
objects. Mathematicians proved that the orthogonal polynomials of fractional-orders …
Automated breast cancer detection using hybrid extreme learning machine classifier
JG Melekoodappattu, PS Subbian - Journal of Ambient Intelligence and …, 2023 - Springer
Breast cancer has been identified as one of the major diseases that have led to the death of
women in recent decades. Mammograms are extensively used by physicians to diagnose …
women in recent decades. Mammograms are extensively used by physicians to diagnose …
An automatic Computer-Aided Diagnosis system based on the Multimodal fusion of Breast Cancer (MF-CAD)
R Mokni, N Gargouri, A Damak, D Sellami… - … Signal Processing and …, 2021 - Elsevier
The risk of death incurred by breast cancer is rising exponentially, especially among women.
The early breast cancer diagnosis before it metastasizes helps medical staff controlling this …
The early breast cancer diagnosis before it metastasizes helps medical staff controlling this …
Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection
Human action recognition from a video sequence has received much attention lately in the
field of computer vision due to its range of applications in surveillance, healthcare, smart …
field of computer vision due to its range of applications in surveillance, healthcare, smart …